Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

43 / 793 papers shown

Title
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 36 339 0 15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 22 223 0 14 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Optimal Binary Autoencoding with Pairwise Correlations Akshay Balsubramani SSL 25 1 0 07 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 59 1,001 0 07 Nov 2016
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 35 222 0 07 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,508 0 02 Nov 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 52 142 0 31 Oct 2016
Deep Variational Canonical Correlation Analysis Weiran Wang Xinchen Yan Honglak Lee Karen Livescu DRL BDL 11 142 0 11 Oct 2016
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis Haohan Wang Aaksha Meghawat Louis-Philippe Morency Eric Xing 24 151 0 16 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 17 395 0 03 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 55 1,798 0 15 Jun 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 24 155 0 26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 97 3,648 0 26 May 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 11 163 0 20 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 30 49 0 06 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 36 482 0 20 Mar 2016
Joint Stochastic Approximation learning of Helmholtz Machines Haotian Xu Zhijian Ou BDL 9 6 0 20 Mar 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 30 254 0 16 Mar 2016
Variational Autoencoders for Semi-supervised Text Classification Weidi Xu Haoze Sun C. Deng Y. Tan DRL 14 7 0 08 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 29 126 0 07 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 22 47 0 03 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 24 42 0 24 Feb 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 52 288 0 22 Feb 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 25 448 0 17 Feb 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 24 87 0 16 Feb 2016
Generating images with recurrent adversarial networks Daniel Jiwoong Im C. Kim Hui Jiang Roland Memisevic GAN 24 223 0 16 Feb 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 30 18 0 07 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 42 258 0 06 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 42 902 0 06 Feb 2016
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 37 184 0 20 Nov 2015
Denoising Criterion for Variational Auto-Encoding Framework Daniel Jiwoong Im Sungjin Ahn Roland Memisevic Yoshua Bengio 22 193 0 19 Nov 2015
Iterative Refinement of the Approximate Posterior for Directed Belief Networks Devon Hjelm Kyunghyun Cho Junyoung Chung R. Salakhutdinov Vince D. Calhoun Nebojsa Jojic BDL 9 1 0 19 Nov 2015
Efficient inference in occlusion-aware generative models of images Jonathan Huang Kevin Patrick Murphy BDL OCL 22 43 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 42 2,221 0 18 Nov 2015
MuProp: Unbiased Backpropagation for Stochastic Neural Networks S. Gu Sergey Levine Ilya Sutskever A. Mnih BDL 13 143 0 16 Nov 2015
Learning Wake-Sleep Recurrent Attention Models Jimmy Ba Roger C. Grosse Ruslan Salakhutdinov B. Frey BDL 32 65 0 22 Sep 2015
Slow and steady feature analysis: higher order temporal coherence in video Dinesh Jayaraman Kristen Grauman 26 143 0 15 Jun 2015
Learning Deep Generative Models with Doubly Stochastic MCMC Chao Du Jun Zhu Bo Zhang BDL SyDa 21 9 0 15 Jun 2015
Bidirectional Helmholtz Machines J. Bornschein Samira Shabanian Asja Fischer Yoshua Bengio 25 26 0 12 Jun 2015
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification S. Chatzis 35 4 0 14 Feb 2014